CVE-2024-6867

Sept. 19, 2024, 6:28 p.m.

6.5
Medium

Description

An information disclosure vulnerability exists in the lunary-ai/lunary, specifically in the `runs/{run_id}/related` endpoint. This endpoint does not verify that the user has the necessary access rights to the run(s) they are accessing. As a result, it returns not only the specified run but also all runs that have the `run_id` listed as their parent run. This issue affects the main branch, commit a761d833. The vulnerability allows unauthorized users to obtain information about non-public runs and their related runs, given the `run_id` of a public or non-public run.

Product(s) Impacted

Vendor Product Versions
Lunary
  • Lunary
  • 1.4.9

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1220
Insufficient Granularity of Access Control
The product implements access controls via a policy or other feature with the intention to disable or restrict accesses (reads and/or writes) to assets in a system from untrusted agents. However, implemented access controls lack required granularity, which renders the control policy too broad because it allows accesses from unauthorized agents to the security-sensitive assets.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a lunary lunary 1.4.9 / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Sept. 13, 2024, 5:15 p.m.
Last Modified: Sept. 19, 2024, 6:28 p.m.

Status : Analyzed

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security@huntr.dev

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.